Team IHMC's Lessons Learned from the DARPA Robotics Challenge: Finding Data in the Rubble

Abstract

This article presents a retrospective analysis of Team IHMC's experience throughout the DARPA Robotics Challenge (DRC), where we took first or second place overall in each of the three phases. As an extremely demanding challenge typical of DARPA, the DRC required rapid research and development to push the boundaries of robotics and set a new benchmark for complex robotic behavior. We present how we addressed each of the eight tasks of the DRC and review our performance in the Finals. While the ambitious competition schedule limited extensive experimentation, we will review the data we collected during the approximately three years of our participation. We discuss some of the significant lessons learned that contributed to our success in the DRC. These include hardware lessons, software lessons, and human‐robot integration lessons. We describe refinements to the coactive design methodology that helped our designers connect human–machine interaction theory to both implementation and empirical data. This approach helped our team focus our limited resources on the issues most critical to success. In addition to helping readers understand our experiences in developing on a Boston Dynamics Atlas robot for the DRC, we hope this article will provide insights that apply more widely to robotics development and design of human–machine systems.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 19, 2016
Source ID
10.1002/rob.21674

Entities

People

  • Alex Graber‐tilton
  • Brandon Shrewsbury
  • Brooke Layton
  • Chris Schmidt‐wetekam
  • Daniel Duran
  • Davide Faconti
  • Douglas Stephen
  • Duncan Calvert
  • Georg Wiedebach
  • Igor Kalkov
  • Jerry Pratt
  • Jesper Smith
  • John Carff
  • Matthew S. Johnson
  • Nathan Mertins
  • Nick Payton
  • Nicolas Eyssette
  • Peter Neuhaus
  • Stephen Mccrory
  • Sylvain Bertrand
  • Tingfan Wu
  • Tobias Meier
  • Travis Craig
  • William Rifenburgh

Organizations

  • Defense Advanced Research Projects Agency

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Military History of the United States in the 20th Century.
  • Military Training and Readiness Simulation

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy